Infra-Red Imaging to Detect Respirator Leak in Healthcare Workers During Fit-Testing Clinic.

OBJECTIVE: This study addressed the problem of objectively detecting leaks in P2 respirators at point of use, an essential component for healthcare workers' protection. To achieve this, we explored the use of infra-red (IR) imaging combined with machine learning algorithms on the thermal gradient across the respirator during inhalation. RESULTS: The study achieved high accuracy in predicting pass or fail outcomes of quantitative fit tests for flat-fold P2 FFRs. The IR imaging methods surpassed the limitations of self fit-checking. CONCLUSIONS: The integration of machine learning and IR imaging on the respirator itself demonstrates promise as a more reliable alternative for ensuring the proper fit of P2 respirators. This innovative approach opens new avenues for technology application in occupational hygiene and emphasizes the need for further validation across diverse respirator styles. SIGNIFICANCE STATEMENT: Our novel approach leveraging infra-red imaging and machine learning to detect P2 respirator leaks represents a critical advancement in occupational safety and healthcare workers' protection.

Applications of indocyanine green in surgery: A single center case series.

Background: Fluorescence imaging using indocyanine green (ICG) has revolutionized commonly performed general surgical procedures by providing superior anatomic imaging and enhancing safety for patients. ICG, when injected, shows a bright green fluorescence when subjected to the near infra-red (NIR) spectrum. Materials and methods: We employed the use of ICG in Laparoscopic cholecystectomy, Intestinal Colorectal Anastomosis and Hernia to assess vascularity of resected ends and bowel viability, Sentinel Lymph node mapping, Vascular surgery to assess amputation stump success and in assessing Flap Vascularity and healing. Results: ICG when administered had successfully shown bright green fluorescence in different cases thereby aiding in surgical procedures. Conclusion: Routine intraoperative use of ICG could pave the way for a more objective assessment of different surgical circumstances and thereby reduce personalized barriers to aciurgy. ICG fluorescence therefore seems to be a promising apparatus in standard general surgical procedures minimizing untoward errors and improving patient conformance.

Near-infrared imaging in re-operative parathyroid surgery: first description of autofluorescence from cryopreserved parathyroid glands.

Identification of parathyroid glands is one of the primary tenets in endocrine surgery. Multiple localizing techniques have been described and are in use in routine practice. More recently near-infra red imaging has been gaining popularity and is used for identification in real time. Parathyroid glands are unique in that they fluoresce when excited by near-infrared light, without the use of a biomarker. This is called autofluorescence (AF). In this case report we describe the presence of persistent AF by thawed parathyroid glands which have previously been cryopreserved. We confirm that the mechanism behind AF involves an intrinsic primary fluorophore, unique to parathyroid glands.

Real-time kidney graft perfusion monitoring using infrared imaging during pediatric kidney transplantation.

INTRODUCTION: Ischemia times in kidney transplantation have shown to be predictive for future graft function. Preservation solutions and anticoagulation protocols have improved the management of pediatric kidney transplantation. Nonetheless, there is no current tool for intra-operative graft monitoring. The aim of this project is to present a novel technique for intra-operative real-time assessment of graft perfusion using a non-invasive infrared camera. METHODS: Prospectively, the authors included 10 pediatric patients. Surgical procedure followed their institutional protocol. Infrared imaging was captured at graft preparation, vascular anastomosis, unclamping, and at 30 s, 1, 5, and 10 min after unclamping. Analyzed variables included type of transplant, ischemia and procedure times, type of anastomosis, and results of doppler/ultrasound. Postoperative variables included creatinine levels during first 72 h. Any complications were also recorded. Delta analysis was calculated to establish the variation of temperature after unclamping. RESULTS: Average age at transplant was 9.9 years. Five cases were living donor transplants. Mean overall ischemia time was 395.6 (SD 64.4 min). Two patients had poor graft perfusion after unclamping. Of those, one had torsion of the arterial anastomosis and the other was a graft from a donor that required cardiopulmonary resuscitation for 45 min. Thermal imaging showed a correlation of 0.318 between graft temperature change and creatinine decrease. Cut-off delta for temperature for good reperfusion was above 0.2 at 1 min CONCLUSION: Real-time infrared imaging shows to be a promising option for non-invasive graft perfusion monitoring. Initial results show good correlation between intra-operative temperature changes, graft perfusion, and postoperative graft function.

Bees as Biosensors: Chemosensory Ability, Honey Bee Monitoring Systems, and Emergent Sensor Technologies Derived from the Pollinator Syndrome.

This review focuses on critical milestones in the development path for the use of bees, mainly honey bees and bumble bees, as sentinels and biosensors. These keystone species comprise the most abundant pollinators of agro-ecosystems. Pollinating 70%-80% of flowering terrestrial plants, bees and other insects propel the reproduction and survival of plants and themselves, as well as improve the quantity and quality of seeds, nuts, and fruits that feed birds, wildlife, and us. Flowers provide insects with energy, nutrients, and shelter, while pollinators are essential to global ecosystem productivity and stability. A rich and diverse milieu of chemical signals establishes and maintains this intimate partnership. Observations of bee odor search behavior extend back to Aristotle. In the past two decades great strides have been made in methods and instrumentation for the study and exploitation of bee search behavior and for examining intra-organismal chemical communication signals. In particular, bees can be trained to search for and localize sources for a variety of chemicals, which when coupled with emerging tracking and mapping technologies create novel potential for research, as well as bee and crop management.

Real-time luminescence imaging of cellular ATP release.

Extracellular ATP and other purines are ubiquitous mediators of local intercellular signaling within the body. While the last two decades have witnessed enormous progress in uncovering and characterizing purinergic receptors and extracellular enzymes controlling purinergic signals, our understanding of the initiating step in this cascade, i.e., ATP release, is still obscure. Imaging of extracellular ATP by luciferin-luciferase bioluminescence offers the advantage of studying ATP release and distribution dynamics in real time. However, low-light signal generated by bioluminescence reactions remains the major obstacle to imaging such rapid processes, imposing substantial constraints on its spatial and temporal resolution. We have developed an improved microscopy system for real-time ATP imaging, which detects ATP-dependent luciferin-luciferase luminescence at ∼10 frames/s, sufficient to follow rapid ATP release with sensitivity of ∼10 nM and dynamic range up to 100 µM. In addition, simultaneous differential interference contrast cell images are acquired with infra-red optics. Our imaging method: (1) identifies ATP-releasing cells or sites, (2) determines absolute ATP concentration and its spreading manner at release sites, and (3) permits analysis of ATP release kinetics from single cells. We provide instrumental details of our approach and give several examples of ATP-release imaging at cellular and tissue levels, to illustrate its potential utility.